A glycolytic metabolite bypasses "two-hit" tumor suppression by BRCA2.

Knudson's "two-hit" paradigm posits that carcinogenesis requires inactivation of both copies of an autosomal tumor suppressor gene. Here, we report that the glycolytic metabolite methylglyoxal (MGO) transiently bypasses Knudson's paradigm by inactivating the breast cancer suppressor protein BRCA2 to elicit a cancer-associated, mutational single-base substitution (SBS) signature in nonmalignant mammary cells or patient-derived organoids. Germline monoallelic BRCA2 mutations predispose to these changes. An analogous SBS signature, again without biallelic BRCA2 inactivation, accompanies MGO accumulation and DNA damage in Kras-driven, Brca2-mutant murine pancreatic cancers and human breast cancers. MGO triggers BRCA2 proteolysis, temporarily disabling BRCA2's tumor suppressive functions in DNA repair and replication, causing functional haploinsufficiency. Intermittent MGO exposure incites episodic SBS mutations without permanent BRCA2 inactivation. Thus, a metabolic mechanism wherein MGO-induced BRCA2 haploinsufficiency transiently bypasses Knudson's two-hit requirement could link glycolysis activation by oncogenes, metabolic disorders, or dietary challenges to mutational signatures implicated in cancer evolution.

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.

Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies according to the predicted response for each individual patient. The design of personalized therapies requires the integration of patient-specific information with an appropriate mathematical model of tumor response. A fundamental barrier to realizing this paradigm is the current lack of a rigorous yet practical mathematical theory of tumor initiation, development, invasion, and response to therapy. We begin this review with an overview of different approaches to modeling tumor growth and treatment, including mechanistic as well as data-driven models based on big data and artificial intelligence. We then present illustrative examples of mathematical models manifesting their utility and discuss the limitations of stand-alone mechanistic and data-driven models. We then discuss the potential of mechanistic models for not only predicting but also optimizing response to therapy on a patient-specific basis. We describe current efforts and future possibilities to integrate mechanistic and data-driven models. We conclude by proposing five fundamental challenges that must be addressed to fully realize personalized care for cancer patients driven by computational models.

A General Strategy for Discovery of Inhibitors and Activators of RING and U-box E3 Ligases with Ubiquitin Variants.

RING and U-box E3 ubiquitin ligases regulate diverse eukaryotic processes and have been implicated in numerous diseases, but targeting these enzymes remains a major challenge. We report the development of three ubiquitin variants (UbVs), each binding selectively to the RING or U-box domain of a distinct E3 ligase: monomeric UBE4B, phosphorylated active CBL, or dimeric XIAP. Structural and biochemical analyses revealed that UbVs specifically inhibited the activity of UBE4B or phosphorylated CBL by blocking the E2∼Ub binding site. Surprisingly, the UbV selective for dimeric XIAP formed a dimer to stimulate E3 activity by stabilizing the closed E2∼Ub conformation. We further verified the inhibitory and stimulatory functions of UbVs in cells. Our work provides a general strategy to inhibit or activate RING/U-box E3 ligases and provides a resource for the research community to modulate these enzymes.

Further delineation of the rare GDACCF (global developmental delay, absent or hypoplastic corpus callosum, dysmorphic facies syndrome): genotype and phenotype of 22 patients with ZNF148 mutations.

BACKGROUND: Pathogenic variants in the zinc finger protein coding genes are rare causes of intellectual disability and congenital malformations. Mutations in the ZNF148 gene causing GDACCF syndrome (global developmental delay, absent or hypoplastic corpus callosum, dysmorphic facies; MIM #617260) have been reported in five individuals so far. METHODS: As a result of an international collaboration using GeneMatcher Phenome Central Repository and personal communications, here we describe the clinical and molecular genetic characteristics of 22 previously unreported individuals. RESULTS: The core clinical phenotype is characterised by developmental delay particularly in the domain of speech development, postnatal growth retardation, microcephaly and facial dysmorphism. Corpus callosum abnormalities appear less frequently than suggested by previous observations. The identified mutations concerned nonsense or frameshift variants that were mainly located in the last exon of the ZNF148 gene. Heterozygous deletion including the entire ZNF148 gene was found in only one case. Most mutations occurred de novo, but were inherited from an affected parent in two families. CONCLUSION: The GDACCF syndrome is clinically diverse, and a genotype-first approach, that is, exome sequencing is recommended for establishing a genetic diagnosis rather than a phenotype-first approach. However, the syndrome may be suspected based on some recurrent, recognisable features. Corpus callosum anomalies were not as constant as previously suggested, we therefore recommend to replace the term 'GDACCF syndrome' with 'ZNF148-related neurodevelopmental disorder'.

Randomized Controlled Trial of Intravenous Ferric Carboxymaltose vs Oral Iron to Treat Iron Deficiency Anemia After Variceal Bleed in Patients With Cirrhosis.

INTRODUCTION: Limited evidence exists on the optimal strategy to correct iron deficiency anemia after variceal bleeding (VB) in cirrhosis. This trial compared the efficacy and safety of intravenous ferric carboxymaltose (IV-FCM) with those of oral iron therapy in this cohort. METHODS: In this open-label, single-center, randomized controlled trial, eligible patients with hemoglobin <10 g/dL and iron deficiency (ferritin <100 ng/mL) after VB received either IV-FCM (1,500-2,000 mg) divided into 2 doses (n = 48) or oral carbonyl iron (100 mg elemental iron/day) (n = 44) for 3 months. The primary outcome was change in hemoglobin at 3 months. Secondary outcomes included improvement in anemia (last hemoglobin >12 g/dL), normalization of iron stores (ferritin >100 ng/mL), liver-related adverse events, adverse drug reactions, and changes in quality of life (CLDQOL questionnaire). RESULTS: Baseline characteristics, including median Child-Turcotte-Pugh score 7 (interquartile range [IQR] 6-9), Model for End-Stage Liver Disease score 12 (IQR 10-17), blood hemoglobin (8.25 ± 1.06 g/dL), and ferritin (30.00 ng/mL [15.00-66.50]), were comparable in both arms. The median increase in hemoglobin at 3 months in the IV and oral arms was 3.65 g/dL (IQR 2.55-5.25) and 1.10 g/dL (IQR 0.05-2.90 g/dL) ( P < 0.001), respectively. Iron stores normalized in 84.6% and 21% of the IV and oral arms, respectively ( P < 0.001). Anemia improved in 50% and 21.9% in the IV and oral arms, respectively ( P < 0.009). Patients in the IV arm showed a significant improvement in all domains of CLDQOL. Liver-related adverse events were comparable in both arms. Transient mild/moderate hypophosphatemia developed in 43% of patients receiving IV-FCM. DISCUSSION: Intravenous iron replacement is efficacious and safe to treat iron deficiency anemia after VB in patients with cirrhosis.

Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks.

Accurate identification of genetic variants from family child-mother-father trio sequencing data is important in genomics. However, state-of-the-art approaches treat variant calling from trios as three independent tasks, which limits their calling accuracy for Nanopore long-read sequencing data. For better trio variant calling, we introduce Clair3-Trio, the first variant caller tailored for family trio data from Nanopore long-reads. Clair3-Trio employs a Trio-to-Trio deep neural network model, which allows it to input the trio sequencing information and output all of the trio's predicted variants within a single model to improve variant calling. We also present MCVLoss, a novel loss function tailor-made for variant calling in trios, leveraging the explicit encoding of the Mendelian inheritance. Clair3-Trio showed comprehensive improvement in experiments. It predicted far fewer Mendelian inheritance violation variations than current state-of-the-art methods. We also demonstrated that our Trio-to-Trio model is more accurate than competing architectures. Clair3-Trio is accessible as a free, open-source project at https://github.com/HKU-BAL/Clair3-Trio.

Integrated polarization-free Bragg filters with subwavelength gratings for photonic sensing.

We present polarization-free Bragg filters having subwavelength gratings (SWGs) in the lateral cladding region. This Bragg design expands modal fields toward upper cladding, resulting in enhanced light interaction with sensing analytes. Two device configurations are proposed and examined, one with index-matched coupling between transverse electric (TE) and transverse magnetic (TM) modes and the other one with hybrid-mode (HM) coupling. Both configurations introduce a strong coupling between two orthogonal modes (either TE-TM or HM1-HM2) and rotate the polarization of the input wave through Bragg reflection. The arrangements of SWGs help to achieve two configurations with different orthogonal modes, while expanding modal profiles toward the upper cladding region. Our proposed SWG-assisted Bragg gratings with polarization independency eliminate the need for a polarization controller and effectively tailor the modal properties, enhancing the potential of integrated photonic sensing applications.

Embolization techniques of spontaneous direct carotid-cavernous fistulae: a single-center experience.

PURPOSE: Spontaneous direct carotid-cavernous fistula (CCF) are usually caused by a ruptured carotid cavernous aneurysm. We studied treatment of spontaneous direct CCFs in a single-center cohort of a high-volume tertiary referral center, reporting anatomical details, technical approaches of treatment, and outcomes. METHODS: Adult patients with a spontaneous direct CCF treated between 2010-2022 with follow-up MRI and/or DSA imaging available were retrospectively analyzed. We studied age, sex, clinical presentation, angiographic findings, treatment techniques, outcomes, and complications. RESULTS: Out of 80 patients with CCFs, twelve patients were treated for a non-traumatic direct CCF (15%) in 13 sessions. Median age was 65 years. Two patients had an underlying connective tissue disorder. In 10 cases, the direct CCF was caused by a ruptured cavernous carotid aneurysm. The direct CCFs were treated by endovascular transarterial embolization (10 cases), transvenous embolization (1 case), or surgery (1 case). Selective closure of the shunt was possible in 10 patients. Two patients were treated with parent vessel occlusion (PVO; one endovascular; one surgical, with bypass). Complications occurred in 2 / 12 patients (17%), with permanent morbidity in two patients (17%): trigeminal neuralgia after PVO and new infarct after surgical PVO and bypass. Selective closure of CCF resulted in no morbidity. There was no mortality in our series. CONCLUSION: Spontaneous direct CCFs are caused by rupture of a cavernous carotid aneurysm in most cases. Selective closure of the shunt, usually feasible transarterially with coils, achieves good results. Reconstructive endovascular techniques are preferred to minimize treatment related neurological complications.

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework.

Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challenge. In this paper, we present a novel methodology for categorizing AIoMT devices through the application of decentralized processing, referred to as "Federated Learning" (FL). Our approach involves deploying a system on standard IoT devices and labeled IoMT devices for training purposes and attribute extraction. Through this process, we extract and map the interconnected attributes from a global federated cum aggression server. The aim of this terminology is to extract interdependent devices via federated learning, ensuring data privacy and adherence to operational policies. Consequently, a global training dataset repository is coordinated to establish a centralized indexing and synchronization knowledge repository. The categorization process employs generic labels for devices transmitting medical data through regular communication channels. We evaluate our proposed methodology across a variety of IoT, IoMT, and AIoMT devices, demonstrating effective classification and labeling. Our technique yields a reliable categorization index for facilitating efficient access and optimization of medical devices within global servers.

Pediatric ping-pong skull fractures treated with vacuum-assisted elevation.

PURPOSE: Depressed ("ping-pong") skull fractures can be treated by different means, including observation, non-surgical treatments, or surgical intervention. The authors describe their experience with vacuum-assisted elevation of ping-pong skull fractures and evaluate variables associated with surgical outcomes. METHODS: The authors present a retrospective review of all ping-pong skull fractures treated with vacuum-assisted elevation at the Children's Hospital of Orange County in 2021-2022. Variables included patient age, mechanism of injury, fracture depth, bone thickness at the fracture site, and degree of elevation. RESULTS: Seven patients underwent vacuum-assisted elevation of ping-pong fractures at the bedside without the use of anesthesia. Fractures caused by birth-related trauma were deeper than those caused by falls (p < 0.001). There was no significant difference between groups in bone thickness at the fracture site (2.10 mm vs 2.16 mm, n.s). Six of the seven patients experienced significant improvement in fracture site depression, with four displaying a complete fracture reduction and two displaying a significant reduction. The degree of fracture reduction was modestly related to the depth of fracture, with the two deepest fractures failing to achieve full reduction. Age appeared to be related to fracture reduction, with the lowest reduction observed in one of the oldest patients in this sample. No complications were observed in any patient other than temporary mild swelling at the suction site, and no re-treatment or surgery for the fractures was required. CONCLUSION: Vacuum-assisted elevation of ping-pong skull fractures is a safe and effective noninvasive treatment option for infants that can be used under certain circumstances. The procedure can be done safely at the bedside and is a relatively quick procedure. It avoids the need for open surgical intervention, anesthesia, or hospital admission, and can lead to excellent outcomes.

Association of demographics, lumbar active range of motion and disability in chronic low back: a baseline data analysis of a randomized controlled trial from Pakistan.

BACKGROUND: The disability and significant economic costs accredited to Low back pain (LBP) are likely to rise which is an essential problem in low and middle-income countries like Pakistan. The associated factors of LBP are age, sex, and race including physical activity, high spinal load, lifting, bending, and twisting occupations. The literature highlighted there is substantial differences in associated factors of LBP within available studies in developing countries. The objective is to investigate the association of demographic factors and lumbar range of motion with disability in patients with chronic low back. METHODS: A baseline data analysis was performed as an analytical cross-sectional study among 150 patients with chronic low back in a randomized controlled trial with a duration from March 2020 and January 2021. After recording demographics, Modified-Modified Schober's test was used to measure lumbar flexion and extension and Oswestry disability index for disability. After the descriptive analysis the continuous variables, age and pain were analyzed with Spearman's correlation. Variables that were significant in bivariate analysis were then fitted in a multivariable linear regression. The Kruskal-Wallis test was used to analyze variations of disability in gender, marital status, work status, education level, and duration of pain. The p-value of 0.05 was significant. RESULTS: The results showed a significant correlation between age and pain in sitting (rh=-0.189, p = 0.021 and rh = 0.788, p < 0.001) with the disability but no significant effects of age and pain in sitting (B=-0.124, p = 0.212 and B = 1.128, p = 0.082) on disability were found. The decrease in lumbar flexion and extension was found to increase disability (B=-6.018 and - 4.032 respectively with p < 0.001). Female gender (x2(1) = 15.477, p = < 0.001) and unmarried marital status (x2(1) = 4.539, p = 0.033) had more disability than male gender and married marital status, respectively. There was a significance between groups of the duration of pain regarding disability (x2 (2) = 70.905, p < 0.001). Age, education level, and work status showed no significance (p > 0.05). CONCLUSIONS: The female gender and unmarried marital status are associated with functional disability. Decreased lumbar range of motion accompanies more disability, while age, education level, and work status do not effect on disability.

Preference of the patient's family for family-centred care in a paediatric hospital.

Objective: To explore the dimensions of family-centred care preferred by families of paediatric inpatients in a public healthcare setting. METHODS: The qualitative study was conducted at the National Institute of Child Health, Karachi, from October 2021 to August 2022, and comprised family members of the hospitalised children. Data was collected through three focus group discussions that were guided by a semi-structured questionnaire. Using the five-step Fereday and Muir-Cochrane guidelines, data was coded and subjected to thematic analysis. RESULTS: Of the 21 subjects, 13(62%) were males and 8(38%) were females. The overall mean age was 32.24±7.58 years (range: 18-50 years). In terms of relationship with the patient, 9(43%) were fathers and 6(28.6%) were mothers. Each focus group discussion had 7(33.3%) subjects. Thematic analysis showed that the participants perceived family-centred care positively. Eight categories emerged depicting family perception and experience of family-centred care in a tertiary-care setting. Conclusion: The participants perceived family-centred care respectful and empathic towards patients' families, making them integral care team members.

Giant cell tumor of soft tissue: GCT arising from periosteum of tibia.

Primary Giant Cell Tumor of Soft Tissue (GCT-ST) is a rare disease, a neoplasm with low potential for malignancy. It belongs to the group of Fibrohistiocytic tumors with borderline malignancy. Most commonly it presents as a painless, slow-growing mass in a superficial location. It is associated with lower local recurrence rate as compared to GCT of bone but has a higher rate for metastasis and mortality. A case of rare GCT-ST with suspicion of lung metastasis is being reported here. The lesion per-operatively appeared to be growing from the periosteum of the bone (tibia in our case). After excisional biopsy it proved to be GCT-ST which has never been reported previously in literature.

Exploring Zingiber officinale bioactive compounds for inhibitory effects on Streptococcus pneumoniae capsular polysaccharide biosynthesis proteins: In silico study.

The capsule is a major virulence factor for Streptococcus pneumoniae which causes global morbidity and mortality. It is already known that there are few conserved genes in the capsular biosynthesis pathway, which are common among all known serotypes, called CpsA, CpsB, CpsC and CpsD. Inhibiting capsular synthesis can render S. pneumoniae defenseless and vulnerable to phagocytosis. The Inhibitory potential of active Zingiber officinale compounds was investigated against the 3D (3-dimensional) structural products of Cps genes using in silico techniques. A 3D compound repository was created and screened for drug-likeness and the qualified compounds were used for molecular docking and dynamic simulation-based experiments using gallic acid for outcome comparison. Cavity-based docking revealed five different cavities in the CpsA, CpsB and CpsD proteins, with gallic acid and selected compounds of Zingiber in a binding affinity range of -6.8 to -8.8 kcal/mol. Gingerenone A, gingerenone B, isogingerenone B and gingerenone C showed the highest binding affinities for CpsA, CpsB and CpsD, respectively. Through the Molegro Virtual Docker re-docking strategy, the highest binding energies (-126.5 kcal/mol) were computed for CpsB with gingerenone A and CpsD with gingerenone B. These findings suggest that gingerenone A, B and C are potential inhibitors of S. pneumoniae-conserved capsule-synthesizing proteins.

Structural advances toward understanding the catalytic activity and conformational dynamics of modular nonribosomal peptide synthetases.

Covering: up to fall 2022.Nonribosomal peptide synthetases (NRPSs) are a family of modular, multidomain enzymes that catalyze the biosynthesis of important peptide natural products, including antibiotics, siderophores, and molecules with other biological activity. The NRPS architecture involves an assembly line strategy that tethers amino acid building blocks and the growing peptides to integrated carrier protein domains that migrate between different catalytic domains for peptide bond formation and other chemical modifications. Examination of the structures of individual domains and larger multidomain proteins has identified conserved conformational states within a single module that are adopted by NRPS modules to carry out a coordinated biosynthetic strategy that is shared by diverse systems. In contrast, interactions between modules are much more dynamic and do not yet suggest conserved conformational states between modules. Here we describe the structures of NRPS protein domains and modules and discuss the implications for future natural product discovery.

Comparison of amitriptyline supplemented with pregabalin, pregabalin supplemented with amitriptyline, and duloxetine supplemented with pregabalin for the treatment of diabetic peripheral neuropathic pain (OPTION-DM): a multicentre, double-blind, randomised crossover trial.

BACKGROUND: Diabetic peripheral neuropathic pain (DPNP) is common and often distressing. Most guidelines recommend amitriptyline, duloxetine, pregabalin, or gabapentin as initial analgesic treatment for DPNP, but there is little comparative evidence on which one is best or whether they should be combined. We aimed to assess the efficacy and tolerability of different combinations of first-line drugs for treatment of DPNP. METHODS: OPTION-DM was a multicentre, randomised, double-blind, crossover trial in patients with DPNP with mean daily pain numerical rating scale (NRS) of 4 or higher (scale is 0-10) from 13 UK centres. Participants were randomly assigned (1:1:1:1:1:1), with a predetermined randomisation schedule stratified by site using permuted blocks of size six or 12, to receive one of six ordered sequences of the three treatment pathways: amitriptyline supplemented with pregabalin (A-P), pregabalin supplemented with amitriptyline (P-A), and duloxetine supplemented with pregabalin (D-P), each pathway lasting 16 weeks. Monotherapy was given for 6 weeks and was supplemented with the combination medication if there was suboptimal pain relief (NRS >3), reflecting current clinical practice. Both treatments were titrated towards maximum tolerated dose (75 mg per day for amitriptyline, 120 mg per day for duloxetine, and 600 mg per day for pregabalin). The primary outcome was the difference in 7-day average daily pain during the final week of each pathway. This trial is registered with ISRCTN, ISRCTN17545443. FINDINGS: Between Nov 14, 2017, and July 29, 2019, 252 patients were screened, 140 patients were randomly assigned, and 130 started a treatment pathway (with 84 completing at least two pathways) and were analysed for the primary outcome. The 7-day average NRS scores at week 16 decreased from a mean 6·6 (SD 1·5) at baseline to 3·3 (1·8) at week 16 in all three pathways. The mean difference was -0·1 (98·3% CI -0·5 to 0·3) for D-P versus A-P, -0·1 (-0·5 to 0·3) for P-A versus A-P, and 0·0 (-0·4 to 0·4) for P-A versus D-P, and thus not significant. Mean NRS reduction in patients on combination therapy was greater than in those who remained on monotherapy (1·0 [SD 1·3] vs 0·2 [1·5]). Adverse events were predictable for the monotherapies: we observed a significant increase in dizziness in the P-A pathway, nausea in the D-P pathway, and dry mouth in the A-P pathway. INTERPRETATION: To our knowledge, this was the largest and longest ever, head-to-head, crossover neuropathic pain trial. We showed that all three treatment pathways and monotherapies had similar analgesic efficacy. Combination treatment was well tolerated and led to improved pain relief in patients with suboptimal pain control with a monotherapy. FUNDING: National Institute for Health Research (NIHR) Health Technology Assessment programme.

Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models.

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate the precarious nature of reported findings. Results In an assessment of radiomic ML publications, the authors uncovered two general categories of data analysis errors: inconsistent partitioning and unproductive feature associations. In simulations, the authors demonstrated that inconsistent partitioning augments radiomic ML accuracy by 1.4 times from unbiased performance and that correcting for flawed methodologic results in areas under the receiver operating characteristic curve approaching a value of 0.5 (random chance). With use of randomly generated features, the authors illustrated that unproductive associations between radiomic features and gene sets can imply false causality for biologic phenomenon. Conclusion Radiomic machine learning studies may contain methodologic flaws that undermine their validity. This study provides a review template to avoid such flaws. © RSNA, 2022 Supplemental material is available for this article. See also the editorial by Jacobs in this issue.

Broadband integrated polarization splitter and rotator using subwavelength grating claddings.

We present a broadband integrated photonic polarization splitter and rotator (PSR) using adiabatically tapered coupled waveguides with subwavelength grating (SWG) claddings. The PSR adiabatically rotates and splits the fundamental transverse-magnetic (TM0) input to the fundamental transverse-electric (TE0) mode in the coupler waveguide, while passing the TE0 input through the same waveguide. The SWGs work as an anisotropic metamaterial and facilitate modal conversions, making the PSR efficient and broadband. We rigorously present our design approaches in each section and show the SWG effect by comparing with and without the SWG claddings. The coupling coefficients in each segment explicitly show a stronger coupling effect when the SWGs are included, confirmed by the coupled-mode theory simulations. The full numerical simulation shows that the SWG-PSR operates at 1500-1750 nm (≈250 nm) wavelengths with an extinction ratio larger than 20 dB, confirmed by the experiment for the 1490-1590 nm range. The insertion losses are below 1.3 dB. Since our PSR is designed based on adiabatical mode evolution, the proposed PSR is expected to be tolerant to fabrication variations and should be broadly applicable to polarization management in photonic integrated circuits.

High-density integrated delay line using extreme skin-depth subwavelength grating waveguides.

Optical delay lines control the flow of light in time, introducing phase and group delays for engineering interferences and ultrashort pulses. Photonic integration of such optical delay lines is essential for chip-scale lightwave signal processing and pulse control. However, typical photonic delay lines based on long spiral waveguides require extensively large chip footprints, ranging from mm2 to cm2 scales. Here we present a scalable, high-density integrated delay line using a skin-depth engineered subwavelength grating waveguide, i.e., an extreme skin-depth (eskid) waveguide. The eskid waveguide suppresses the crosstalk between closely spaced waveguides, significantly saving the chip footprint area. Our eskid-based photonic delay line is easily scalable by increasing the number of turns and should improve the photonic chip integration density.

Efficacy of anti-CD3 monoclonal antibodies in delaying the progression of recent-onset type 1 diabetes mellitus: A systematic review, meta-analyses and meta-regression.

AIM: Type 1 diabetes mellitus is widely recognized as a chronic autoimmune disease characterized by the pathogenic destruction of beta cells, resulting in the loss of endogenous insulin production. Insulin administration remains the primary therapy for symptomatic treatment. Recent studies showed that disease-modifying agents, such as anti-CD3 monoclonal antibodies, have shown promising outcomes in improving the management of the disease. In late 2022, teplizumab received approval from the US Food and Drug Administration (FDA) as the first disease-modifying agent for the treatment of type 1 diabetes. This review aims to evaluate the clinical evidence regarding the efficacy of anti-CD3 monoclonal antibodies in the prevention and treatment of type 1 diabetes. METHODS: A comprehensive search of PubMed, Google Scholar, Scopus and Cochrane Central Register of Controlled Trials (CENTRAL) was conducted up to December 2022 to identify relevant randomized controlled trials. Meta-analysis was performed using a random-effects model, and odds ratios with 95% confidence intervals (CIs) were calculated to quantify the effects. The Cochrane risk of bias tool was employed for quality assessment. RESULTS: In total, 11 randomized controlled trials involving 1397 participants (908 participants in the intervention arm, 489 participants in the control arm) were included in this review. The mean age of participants was 15 years, and the mean follow-up time was 2.04 years. Teplizumab was the most commonly studied intervention. Compared with placebo, anti-CD3 monoclonal antibody treatment significantly increased the C-peptide concentration in the area under the curve at shorter timeframes (mean difference = 0.114, 95% CI: 0.069 to 0.159, p = .000). Furthermore, anti-CD3 monoclonal antibodies significantly reduced the patients' insulin intake across all timeframes (mean difference = -0.123, 95% CI: -0.151 to -0.094, p < .001). However, no significant effect on glycated haemoglobin concentration was observed. CONCLUSION: The findings of this review suggest that anti-CD3 monoclonal antibody treatment increases endogenous insulin production and improves the lifestyle of patients by reducing insulin dosage. Future studies should consider the limitations, including sample size, heterogeneity and duration of follow-up, to validate the generalizability of these findings further.